Overview

Brought to you by YData

Dataset statistics

Number of variables	21
Number of observations	50000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	32.7 MiB
Average record size in memory	685.2 B

Variable types

Text	2
Numeric	7
Categorical	11
DateTime	1

Alerts

`Failed_Transaction_Count_7d` is highly overall correlated with `Fraud_Label`	High correlation
`Fraud_Label` is highly overall correlated with `Failed_Transaction_Count_7d` and 1 other fields	High correlation
`Risk_Score` is highly overall correlated with `Fraud_Label`	High correlation
`IP_Address_Flag` is highly imbalanced (71.3%)	Imbalance
`Previous_Fraudulent_Activity` is highly imbalanced (53.6%)	Imbalance
`Transaction_ID` has unique values	Unique

Reproduction

Analysis started	2025-04-07 17:15:24.046388
Analysis finished	2025-04-07 17:15:50.560892
Duration	26.51 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Transaction_ID
Text

Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Length

Max length	9
Median length	9
Mean length	8.7778
Min length	5

Characters and Unicode

Total characters	438890
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50000 ?
Unique (%)	100.0%

Sample

1st row	TXN_33553
2nd row	TXN_9427
3rd row	TXN_199
4th row	TXN_12447
5th row	TXN_39489

Value	Count	Frequency (%)
txn_2433	1	< 0.1%
txn_769	1	< 0.1%
txn_1685	1	< 0.1%
txn_41090	1	< 0.1%
txn_16023	1	< 0.1%
txn_44131	1	< 0.1%
txn_47191	1	< 0.1%
txn_21962	1	< 0.1%
txn_37194	1	< 0.1%
txn_16850	1	< 0.1%
Other values (49990)	49990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
T	50000	11.4%
X	50000	11.4%
N	50000	11.4%
_	50000	11.4%
3	30000	6.8%
1	30000	6.8%
4	30000	6.8%
2	30000	6.8%
5	20000	4.6%
7	20000	4.6%
Other values (4)	78890	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	438890	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	50000	11.4%
X	50000	11.4%
N	50000	11.4%
_	50000	11.4%
3	30000	6.8%
1	30000	6.8%
4	30000	6.8%
2	30000	6.8%
5	20000	4.6%
7	20000	4.6%
Other values (4)	78890	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	438890	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	50000	11.4%
X	50000	11.4%
N	50000	11.4%
_	50000	11.4%
3	30000	6.8%
1	30000	6.8%
4	30000	6.8%
2	30000	6.8%
5	20000	4.6%
7	20000	4.6%
Other values (4)	78890	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	438890	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	50000	11.4%
X	50000	11.4%
N	50000	11.4%
_	50000	11.4%
3	30000	6.8%
1	30000	6.8%
4	30000	6.8%
2	30000	6.8%
5	20000	4.6%
7	20000	4.6%
Other values (4)	78890	18.0%

User_ID
Text

Distinct	8963
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	450000
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	195 ?
Unique (%)	0.4%

Sample

1st row	USER_1834
2nd row	USER_7875
3rd row	USER_2734
4th row	USER_2617
5th row	USER_2014

Value	Count	Frequency (%)
user_3925	16	< 0.1%
user_6599	16	< 0.1%
user_9998	16	< 0.1%
user_3415	15	< 0.1%
user_1027	15	< 0.1%
user_5014	15	< 0.1%
user_8008	14	< 0.1%
user_9995	14	< 0.1%
user_6243	14	< 0.1%
user_6906	14	< 0.1%
Other values (8953)	49851	99.7%

Most occurring characters

Value	Count	Frequency (%)
U	50000	11.1%
S	50000	11.1%
E	50000	11.1%
R	50000	11.1%
_	50000	11.1%
6	20755	4.6%
7	20665	4.6%
1	20588	4.6%
3	20521	4.6%
4	20505	4.6%
Other values (5)	96966	21.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	450000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	50000	11.1%
S	50000	11.1%
E	50000	11.1%
R	50000	11.1%
_	50000	11.1%
6	20755	4.6%
7	20665	4.6%
1	20588	4.6%
3	20521	4.6%
4	20505	4.6%
Other values (5)	96966	21.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	450000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	50000	11.1%
S	50000	11.1%
E	50000	11.1%
R	50000	11.1%
_	50000	11.1%
6	20755	4.6%
7	20665	4.6%
1	20588	4.6%
3	20521	4.6%
4	20505	4.6%
Other values (5)	96966	21.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	450000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	50000	11.1%
S	50000	11.1%
E	50000	11.1%
R	50000	11.1%
_	50000	11.1%
6	20755	4.6%
7	20665	4.6%
1	20588	4.6%
3	20521	4.6%
4	20505	4.6%
Other values (5)	96966	21.5%

Transaction_Amount
Real number (ℝ)

Distinct	21763
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.411012

Minimum	0
Maximum	1174.14
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	5.1
Q1	28.6775
median	69.66
Q3	138.8525
95-th percentile	294.3035
Maximum	1174.14
Range	1174.14
Interquartile range (IQR)	110.175

Descriptive statistics

Standard deviation	98.687292
Coefficient of variation (CV)	0.99271992
Kurtosis	6.1293396
Mean	99.411012
Median Absolute Deviation (MAD)	48.56
Skewness	1.9960359
Sum	4970550.6
Variance	9739.1816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.65	14	< 0.1%
8.74	13	< 0.1%
0.24	13	< 0.1%
18.58	12	< 0.1%
6.5	12	< 0.1%
13.75	12	< 0.1%
25.63	11	< 0.1%
0.91	11	< 0.1%
3.64	11	< 0.1%
5.11	11	< 0.1%
Other values (21753)	49880	99.8%

Value	Count	Frequency (%)
0	2	< 0.1%
0.01	5	< 0.1%
0.02	4	< 0.1%
0.03	5	< 0.1%
0.04	5	< 0.1%
0.05	6	< 0.1%
0.06	6	< 0.1%
0.07	6	< 0.1%
0.08	2	< 0.1%
0.09	5	< 0.1%

Value	Count	Frequency (%)
1174.14	1	< 0.1%
1005.32	1	< 0.1%
971.61	1	< 0.1%
898.8	1	< 0.1%
892.67	1	< 0.1%
886.3	1	< 0.1%
875.71	1	< 0.1%
874.85	1	< 0.1%
868.75	1	< 0.1%
864.36	1	< 0.1%

Transaction_Type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

POS	12549
Online	12546
ATM Withdrawal	12453
Bank Transfer	12452

Length

Max length	14
Median length	13
Mean length	8.98282
Min length	3

Characters and Unicode

Total characters	449141
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	POS
2nd row	Bank Transfer
3rd row	Online
4th row	ATM Withdrawal
5th row	POS

Common Values

Value	Count	Frequency (%)
POS	12549	25.1%
Online	12546	25.1%
ATM Withdrawal	12453	24.9%
Bank Transfer	12452	24.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pos	12549	16.8%
online	12546	16.7%
atm	12453	16.6%
withdrawal	12453	16.6%
bank	12452	16.6%
transfer	12452	16.6%

Most occurring characters

Value	Count	Frequency (%)
n	49996	11.1%
a	49810	11.1%
r	37357	8.3%
O	25095	5.6%
i	24999	5.6%
l	24999	5.6%
e	24998	5.6%
T	24905	5.5%
	24905	5.5%
P	12549	2.8%
Other values (12)	149528	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	449141	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	49996	11.1%
a	49810	11.1%
r	37357	8.3%
O	25095	5.6%
i	24999	5.6%
l	24999	5.6%
e	24998	5.6%
T	24905	5.5%
	24905	5.5%
P	12549	2.8%
Other values (12)	149528	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	449141	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	49996	11.1%
a	49810	11.1%
r	37357	8.3%
O	25095	5.6%
i	24999	5.6%
l	24999	5.6%
e	24998	5.6%
T	24905	5.5%
	24905	5.5%
P	12549	2.8%
Other values (12)	149528	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	449141	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	49996	11.1%
a	49810	11.1%
r	37357	8.3%
O	25095	5.6%
i	24999	5.6%
l	24999	5.6%
e	24998	5.6%
T	24905	5.5%
	24905	5.5%
P	12549	2.8%
Other values (12)	149528	33.3%

Timestamp
Date

Distinct	47724
Distinct (%)	95.4%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Minimum	2023-01-01 00:01:00
Maximum	2023-12-31 23:50:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Account_Balance
Real number (ℝ)

Distinct	49867
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50294.066

Minimum	500.48
Maximum	99998.31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	500.48
5-th percentile	5498.417
Q1	25355.995
median	50384.43
Q3	75115.135
95-th percentile	95118.842
Maximum	99998.31
Range	99497.83
Interquartile range (IQR)	49759.14

Descriptive statistics

Standard deviation	28760.459
Coefficient of variation (CV)	0.57184596
Kurtosis	-1.2013596
Mean	50294.066
Median Absolute Deviation (MAD)	24869.18
Skewness	-0.0030254836
Sum	2.5147033 × 10⁹
Variance	8.2716398 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
94424.84	2	< 0.1%
99981.36	2	< 0.1%
70746.35	2	< 0.1%
87442.63	2	< 0.1%
81203.56	2	< 0.1%
17904.99	2	< 0.1%
11689.27	2	< 0.1%
27506.1	2	< 0.1%
14169.82	2	< 0.1%
76119.68	2	< 0.1%
Other values (49857)	49980	> 99.9%

Value	Count	Frequency (%)
500.48	1	< 0.1%
503.44	1	< 0.1%
503.94	1	< 0.1%
504.84	1	< 0.1%
509.9	1	< 0.1%
511.68	1	< 0.1%
514.57	1	< 0.1%
514.61	1	< 0.1%
515.78	1	< 0.1%
519.91	1	< 0.1%

Value	Count	Frequency (%)
99998.31	1	< 0.1%
99997.94	1	< 0.1%
99997.79	1	< 0.1%
99997.52	1	< 0.1%
99991.35	1	< 0.1%
99991.04	1	< 0.1%
99988.27	2	< 0.1%
99985.5	1	< 0.1%
99984.15	1	< 0.1%
99982.34	1	< 0.1%

Device_Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Tablet	16779
Mobile	16640
Laptop	16581

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	300000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Laptop
2nd row	Mobile
3rd row	Tablet
4th row	Tablet
5th row	Mobile

Common Values

Value	Count	Frequency (%)
Tablet	16779	33.6%
Mobile	16640	33.3%
Laptop	16581	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tablet	16779	33.6%
mobile	16640	33.3%
laptop	16581	33.2%

Most occurring characters

Value	Count	Frequency (%)
b	33419	11.1%
e	33419	11.1%
l	33419	11.1%
t	33360	11.1%
a	33360	11.1%
o	33221	11.1%
p	33162	11.1%
T	16779	5.6%
M	16640	5.5%
i	16640	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
b	33419	11.1%
e	33419	11.1%
l	33419	11.1%
t	33360	11.1%
a	33360	11.1%
o	33221	11.1%
p	33162	11.1%
T	16779	5.6%
M	16640	5.5%
i	16640	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
b	33419	11.1%
e	33419	11.1%
l	33419	11.1%
t	33360	11.1%
a	33360	11.1%
o	33221	11.1%
p	33162	11.1%
T	16779	5.6%
M	16640	5.5%
i	16640	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
b	33419	11.1%
e	33419	11.1%
l	33419	11.1%
t	33360	11.1%
a	33360	11.1%
o	33221	11.1%
p	33162	11.1%
T	16779	5.6%
M	16640	5.5%
i	16640	5.5%

Location
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Tokyo	10208
Mumbai	9994
London	9945
Sydney	9938
New York	9915

Length

Max length	8
Median length	6
Mean length	6.19244
Min length	5

Characters and Unicode

Total characters	309622
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sydney
2nd row	New York
3rd row	Mumbai
4th row	New York
5th row	Mumbai

Common Values

Value	Count	Frequency (%)
Tokyo	10208	20.4%
Mumbai	9994	20.0%
London	9945	19.9%
Sydney	9938	19.9%
New York	9915	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tokyo	10208	17.0%
mumbai	9994	16.7%
london	9945	16.6%
sydney	9938	16.6%
new	9915	16.5%
york	9915	16.5%

Most occurring characters

Value	Count	Frequency (%)
o	50221	16.2%
y	30084	9.7%
n	29828	9.6%
k	20123	6.5%
d	19883	6.4%
e	19853	6.4%
T	10208	3.3%
M	9994	3.2%
b	9994	3.2%
a	9994	3.2%
Other values (10)	99440	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	309622	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	50221	16.2%
y	30084	9.7%
n	29828	9.6%
k	20123	6.5%
d	19883	6.4%
e	19853	6.4%
T	10208	3.3%
M	9994	3.2%
b	9994	3.2%
a	9994	3.2%
Other values (10)	99440	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	309622	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	50221	16.2%
y	30084	9.7%
n	29828	9.6%
k	20123	6.5%
d	19883	6.4%
e	19853	6.4%
T	10208	3.3%
M	9994	3.2%
b	9994	3.2%
a	9994	3.2%
Other values (10)	99440	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	309622	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	50221	16.2%
y	30084	9.7%
n	29828	9.6%
k	20123	6.5%
d	19883	6.4%
e	19853	6.4%
T	10208	3.3%
M	9994	3.2%
b	9994	3.2%
a	9994	3.2%
Other values (10)	99440	32.1%

Merchant_Category
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Clothing	10033
Groceries	10019
Travel	10015
Restaurants	9976
Electronics	9957

Length

Max length	11
Median length	9
Mean length	8.99576
Min length	6

Characters and Unicode

Total characters	449788
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Travel
2nd row	Clothing
3rd row	Restaurants
4th row	Clothing
5th row	Electronics

Common Values

Value	Count	Frequency (%)
Clothing	10033	20.1%
Groceries	10019	20.0%
Travel	10015	20.0%
Restaurants	9976	20.0%
Electronics	9957	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
clothing	10033	20.1%
groceries	10019	20.0%
travel	10015	20.0%
restaurants	9976	20.0%
electronics	9957	19.9%

Most occurring characters

Value	Count	Frequency (%)
r	49986	11.1%
e	49986	11.1%
t	39942	8.9%
s	39928	8.9%
i	30009	6.7%
o	30009	6.7%
l	30005	6.7%
a	29967	6.7%
n	29966	6.7%
c	29933	6.7%
Other values (9)	90057	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	449788	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	49986	11.1%
e	49986	11.1%
t	39942	8.9%
s	39928	8.9%
i	30009	6.7%
o	30009	6.7%
l	30005	6.7%
a	29967	6.7%
n	29966	6.7%
c	29933	6.7%
Other values (9)	90057	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	449788	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	49986	11.1%
e	49986	11.1%
t	39942	8.9%
s	39928	8.9%
i	30009	6.7%
o	30009	6.7%
l	30005	6.7%
a	29967	6.7%
n	29966	6.7%
c	29933	6.7%
Other values (9)	90057	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	449788	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	49986	11.1%
e	49986	11.1%
t	39942	8.9%
s	39928	8.9%
i	30009	6.7%
o	30009	6.7%
l	30005	6.7%
a	29967	6.7%
n	29966	6.7%
c	29933	6.7%
Other values (9)	90057	20.0%

IP_Address_Flag
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

0	47490
1	2510

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	47490	95.0%
1	2510	5.0%

Previous_Fraudulent_Activity
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

0	45080
1	4920

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Most occurring characters

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	45080	90.2%
1	4920	9.8%

Daily_Transaction_Count
Real number (ℝ)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.48524

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	11
95-th percentile	14
Maximum	14
Range	13
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.0396372
Coefficient of variation (CV)	0.53968038
Kurtosis	-1.2212633
Mean	7.48524
Median Absolute Deviation (MAD)	4
Skewness	0.0036841391
Sum	374262
Variance	16.318669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	3634	7.3%
10	3623	7.2%
11	3620	7.2%
4	3606	7.2%
2	3605	7.2%
1	3598	7.2%
12	3586	7.2%
5	3582	7.2%
7	3574	7.1%
14	3571	7.1%
Other values (4)	14001	28.0%

Value	Count	Frequency (%)
1	3598	7.2%
2	3605	7.2%
3	3634	7.3%
4	3606	7.2%
5	3582	7.2%
6	3521	7.0%
7	3574	7.1%
8	3418	6.8%
9	3538	7.1%
10	3623	7.2%

Value	Count	Frequency (%)
14	3571	7.1%
13	3524	7.0%
12	3586	7.2%
11	3620	7.2%
10	3623	7.2%
9	3538	7.1%
8	3418	6.8%
7	3574	7.1%
6	3521	7.0%
5	3582	7.2%

Avg_Transaction_Amount_7d
Real number (ℝ)

Distinct	31420
Distinct (%)	62.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	255.27192

Minimum	10
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	10
5-th percentile	34.84
Q1	132.0875
median	256.085
Q3	378.0325
95-th percentile	475.611
Maximum	500
Range	490
Interquartile range (IQR)	245.945

Descriptive statistics

Standard deviation	141.38228
Coefficient of variation (CV)	0.5538497
Kurtosis	-1.1991936
Mean	255.27192
Median Absolute Deviation (MAD)	122.875
Skewness	-0.00090920079
Sum	12763596
Variance	19988.949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
384.72	7	< 0.1%
82.26	7	< 0.1%
226.4	7	< 0.1%
454.19	6	< 0.1%
422.33	6	< 0.1%
288.61	6	< 0.1%
450.79	6	< 0.1%
39.52	6	< 0.1%
245.36	6	< 0.1%
112.26	6	< 0.1%
Other values (31410)	49937	99.9%

Value	Count	Frequency (%)
10	1	< 0.1%
10.01	2	< 0.1%
10.03	2	< 0.1%
10.05	1	< 0.1%
10.06	3	< 0.1%
10.07	1	< 0.1%
10.08	1	< 0.1%
10.09	1	< 0.1%
10.1	1	< 0.1%
10.11	1	< 0.1%

Value	Count	Frequency (%)
500	1	< 0.1%
499.99	2	< 0.1%
499.98	2	< 0.1%
499.96	1	< 0.1%
499.95	1	< 0.1%
499.94	1	< 0.1%
499.93	1	< 0.1%
499.91	2	< 0.1%
499.89	1	< 0.1%
499.87	2	< 0.1%

Failed_Transaction_Count_7d
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

3	10216
0	10014
4	9954
1	9919
2	9897

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Most occurring characters

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	10216	20.4%
0	10014	20.0%
4	9954	19.9%
1	9919	19.8%
2	9897	19.8%

Card_Type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Mastercard	12693
Visa	12560
Amex	12419
Discover	12328

Length

Max length	10
Median length	8
Mean length	6.5094
Min length	4

Characters and Unicode

Total characters	325470
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amex
2nd row	Mastercard
3rd row	Visa
4th row	Visa
5th row	Mastercard

Common Values

Value	Count	Frequency (%)
Mastercard	12693	25.4%
Visa	12560	25.1%
Amex	12419	24.8%
Discover	12328	24.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mastercard	12693	25.4%
visa	12560	25.1%
amex	12419	24.8%
discover	12328	24.7%

Most occurring characters

Value	Count	Frequency (%)
a	37946	11.7%
r	37714	11.6%
s	37581	11.5%
e	37440	11.5%
c	25021	7.7%
i	24888	7.6%
t	12693	3.9%
M	12693	3.9%
d	12693	3.9%
V	12560	3.9%
Other values (6)	74241	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	325470	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	37946	11.7%
r	37714	11.6%
s	37581	11.5%
e	37440	11.5%
c	25021	7.7%
i	24888	7.6%
t	12693	3.9%
M	12693	3.9%
d	12693	3.9%
V	12560	3.9%
Other values (6)	74241	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	325470	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	37946	11.7%
r	37714	11.6%
s	37581	11.5%
e	37440	11.5%
c	25021	7.7%
i	24888	7.6%
t	12693	3.9%
M	12693	3.9%
d	12693	3.9%
V	12560	3.9%
Other values (6)	74241	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	325470	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	37946	11.7%
r	37714	11.6%
s	37581	11.5%
e	37440	11.5%
c	25021	7.7%
i	24888	7.6%
t	12693	3.9%
M	12693	3.9%
d	12693	3.9%
V	12560	3.9%
Other values (6)	74241	22.8%

Card_Age
Real number (ℝ)

Distinct	239
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	119.99994

Minimum	1
Maximum	239
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	13
Q1	60
median	120
Q3	180
95-th percentile	228
Maximum	239
Range	238
Interquartile range (IQR)	120

Descriptive statistics

Standard deviation	68.985817
Coefficient of variation (CV)	0.5748821
Kurtosis	-1.2019273
Mean	119.99994
Median Absolute Deviation (MAD)	60
Skewness	0.00051173999
Sum	5999997
Variance	4759.043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	247	0.5%
31	244	0.5%
84	243	0.5%
63	239	0.5%
55	239	0.5%
218	236	0.5%
29	235	0.5%
73	235	0.5%
168	234	0.5%
75	234	0.5%
Other values (229)	47614	95.2%

Value	Count	Frequency (%)
1	227	0.5%
2	213	0.4%
3	226	0.5%
4	209	0.4%
5	201	0.4%
6	191	0.4%
7	205	0.4%
8	213	0.4%
9	180	0.4%
10	187	0.4%

Value	Count	Frequency (%)
239	215	0.4%
238	216	0.4%
237	184	0.4%
236	187	0.4%
235	209	0.4%
234	218	0.4%
233	230	0.5%
232	211	0.4%
231	202	0.4%
230	207	0.4%

Transaction_Distance
Real number (ℝ)

Distinct	47546
Distinct (%)	95.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2499.1642

Minimum	0.25
Maximum	4999.93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.25
5-th percentile	253.4445
Q1	1256.4975
median	2490.785
Q3	3746.395
95-th percentile	4756.9255
Maximum	4999.93
Range	4999.68
Interquartile range (IQR)	2489.8975

Descriptive statistics

Standard deviation	1442.0138
Coefficient of variation (CV)	0.57699845
Kurtosis	-1.1933281
Mean	2499.1642
Median Absolute Deviation (MAD)	1244.965
Skewness	0.0064491219
Sum	1.2495821 × 10⁸
Variance	2079403.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
951.92	4	< 0.1%
1743.63	4	< 0.1%
3447.51	3	< 0.1%
2264.45	3	< 0.1%
1199.61	3	< 0.1%
313.64	3	< 0.1%
122.87	3	< 0.1%
4913.77	3	< 0.1%
3035.56	3	< 0.1%
169.98	3	< 0.1%
Other values (47536)	49968	99.9%

Value	Count	Frequency (%)
0.25	1	< 0.1%
0.47	1	< 0.1%
0.56	1	< 0.1%
0.6	1	< 0.1%
0.66	1	< 0.1%
0.74	1	< 0.1%
1.1	1	< 0.1%
1.14	1	< 0.1%
1.46	1	< 0.1%
1.58	1	< 0.1%

Value	Count	Frequency (%)
4999.93	1	< 0.1%
4999.92	1	< 0.1%
4999.91	1	< 0.1%
4999.85	1	< 0.1%
4999.74	1	< 0.1%
4999.7	3	< 0.1%
4999.61	1	< 0.1%
4999.37	1	< 0.1%
4999.3	1	< 0.1%
4999.27	1	< 0.1%

Authentication_Method
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Biometric	12591
PIN	12586
Password	12457
OTP	12366

Length

Max length	9
Median length	8
Mean length	5.75662
Min length	3

Characters and Unicode

Total characters	287831
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Biometric
2nd row	Password
3rd row	Biometric
4th row	OTP
5th row	Password

Common Values

Value	Count	Frequency (%)
Biometric	12591	25.2%
PIN	12586	25.2%
Password	12457	24.9%
OTP	12366	24.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
biometric	12591	25.2%
pin	12586	25.2%
password	12457	24.9%
otp	12366	24.7%

Most occurring characters

Value	Count	Frequency (%)
P	37409	13.0%
i	25182	8.7%
r	25048	8.7%
o	25048	8.7%
s	24914	8.7%
B	12591	4.4%
e	12591	4.4%
t	12591	4.4%
m	12591	4.4%
c	12591	4.4%
Other values (7)	87275	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	287831	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	37409	13.0%
i	25182	8.7%
r	25048	8.7%
o	25048	8.7%
s	24914	8.7%
B	12591	4.4%
e	12591	4.4%
t	12591	4.4%
m	12591	4.4%
c	12591	4.4%
Other values (7)	87275	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	287831	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	37409	13.0%
i	25182	8.7%
r	25048	8.7%
o	25048	8.7%
s	24914	8.7%
B	12591	4.4%
e	12591	4.4%
t	12591	4.4%
m	12591	4.4%
c	12591	4.4%
Other values (7)	87275	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	287831	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	37409	13.0%
i	25182	8.7%
r	25048	8.7%
o	25048	8.7%
s	24914	8.7%
B	12591	4.4%
e	12591	4.4%
t	12591	4.4%
m	12591	4.4%
c	12591	4.4%
Other values (7)	87275	30.3%

Risk_Score
Real number (ℝ)

High correlation

Distinct	9931
Distinct (%)	19.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.50155552

Minimum	0.0001
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.0001
5-th percentile	0.0518
Q1	0.254
median	0.50225
Q3	0.749525
95-th percentile	0.9505
Maximum	1
Range	0.9999
Interquartile range (IQR)	0.495525

Descriptive statistics

Standard deviation	0.28777412
Coefficient of variation (CV)	0.57376324
Kurtosis	-1.1925911
Mean	0.50155552
Median Absolute Deviation (MAD)	0.24775
Skewness	-0.0013190373
Sum	25077.776
Variance	0.082813944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.6917	16	< 0.1%
0.3606	15	< 0.1%
0.299	15	< 0.1%
0.9781	14	< 0.1%
0.2228	14	< 0.1%
0.8594	14	< 0.1%
0.3546	14	< 0.1%
0.8236	14	< 0.1%
0.2526	14	< 0.1%
0.7457	13	< 0.1%
Other values (9921)	49857	99.7%

Value	Count	Frequency (%)
0.0001	6	< 0.1%
0.0002	6	< 0.1%
0.0003	4	< 0.1%
0.0004	3	< 0.1%
0.0005	6	< 0.1%
0.0006	3	< 0.1%
0.0007	2	< 0.1%
0.0008	6	< 0.1%
0.0009	7	< 0.1%
0.001	7	< 0.1%

Value	Count	Frequency (%)
1	1	< 0.1%
0.9999	6	< 0.1%
0.9998	3	< 0.1%
0.9997	6	< 0.1%
0.9996	5	< 0.1%
0.9995	3	< 0.1%
0.9994	2	< 0.1%
0.9993	2	< 0.1%
0.9992	1	< 0.1%
0.9991	4	< 0.1%

Is_Weekend
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

0	35018
1	14982

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Most occurring characters

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	35018	70.0%
1	14982	30.0%

Fraud_Label
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

0	33933
1	16067

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Most occurring characters

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	33933	67.9%
1	16067	32.1%

Interactions

Correlations

	Account_Balance	Authentication_Method	Avg_Transaction_Amount_7d	Card_Age	Card_Type	Daily_Transaction_Count	Device_Type	Failed_Transaction_Count_7d	Fraud_Label	IP_Address_Flag	Is_Weekend	Location	Merchant_Category	Previous_Fraudulent_Activity	Risk_Score	Transaction_Amount	Transaction_Distance	Transaction_Type
Account_Balance	1.000	0.003	-0.002	0.001	0.007	0.006	0.000	0.000	0.005	0.000	0.007	0.009	0.000	0.010	-0.005	0.004	0.002	0.000
Authentication_Method	0.003	1.000	0.005	0.000	0.005	0.007	0.000	0.000	0.000	0.000	0.002	0.004	0.000	0.000	0.000	0.000	0.000	0.003
Avg_Transaction_Amount_7d	-0.002	0.005	1.000	-0.009	0.000	0.005	0.009	0.006	0.000	0.000	0.002	0.006	0.004	0.000	0.005	-0.007	-0.003	0.000
Card_Age	0.001	0.000	-0.009	1.000	0.000	-0.001	0.011	0.003	0.000	0.000	0.000	0.000	0.004	0.000	-0.001	-0.003	-0.003	0.000
Card_Type	0.007	0.005	0.000	0.000	1.000	0.000	0.003	0.008	0.000	0.005	0.007	0.000	0.001	0.006	0.008	0.000	0.000	0.004
Daily_Transaction_Count	0.006	0.007	0.005	-0.001	0.000	1.000	0.000	0.004	0.000	0.001	0.009	0.000	0.001	0.006	-0.008	-0.002	-0.002	0.000
Device_Type	0.000	0.000	0.009	0.011	0.003	0.000	1.000	0.000	0.002	0.003	0.003	0.000	0.000	0.000	0.000	0.008	0.000	0.000
Failed_Transaction_Count_7d	0.000	0.000	0.006	0.003	0.008	0.004	0.000	1.000	0.725	0.006	0.000	0.004	0.000	0.000	0.000	0.006	0.000	0.003
Fraud_Label	0.005	0.000	0.000	0.000	0.000	0.000	0.002	0.725	1.000	0.000	0.000	0.000	0.000	0.000	0.552	0.000	0.004	0.000
IP_Address_Flag	0.000	0.000	0.000	0.000	0.005	0.001	0.003	0.006	0.000	1.000	0.002	0.012	0.000	0.007	0.000	0.009	0.000	0.000
Is_Weekend	0.007	0.002	0.002	0.000	0.007	0.009	0.003	0.000	0.000	0.002	1.000	0.008	0.000	0.000	0.000	0.000	0.009	0.000
Location	0.009	0.004	0.006	0.000	0.000	0.000	0.000	0.004	0.000	0.012	0.008	1.000	0.000	0.013	0.004	0.005	0.010	0.000
Merchant_Category	0.000	0.000	0.004	0.004	0.001	0.001	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.008	0.000	0.002
Previous_Fraudulent_Activity	0.010	0.000	0.000	0.000	0.006	0.006	0.000	0.000	0.000	0.007	0.000	0.013	0.000	1.000	0.000	0.000	0.000	0.000
Risk_Score	-0.005	0.000	0.005	-0.001	0.008	-0.008	0.000	0.000	0.552	0.000	0.000	0.004	0.000	0.000	1.000	0.006	-0.002	0.000
Transaction_Amount	0.004	0.000	-0.007	-0.003	0.000	-0.002	0.008	0.006	0.000	0.009	0.000	0.005	0.008	0.000	0.006	1.000	0.003	0.000
Transaction_Distance	0.002	0.000	-0.003	-0.003	0.000	-0.002	0.000	0.000	0.004	0.000	0.009	0.010	0.000	0.000	-0.002	0.003	1.000	0.000
Transaction_Type	0.000	0.003	0.000	0.000	0.004	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Transaction_ID	User_ID	Transaction_Amount	Transaction_Type	Timestamp	Account_Balance	Device_Type	Location	Merchant_Category	Previous_Fraudulent_Activity	Daily_Transaction_Count	Avg_Transaction_Amount_7d	Failed_Transaction_Count_7d	Card_Type	Card_Age	Transaction_Distance	Authentication_Method	Risk_Score	Is_Weekend	Fraud_Label
0	TXN_33553	USER_1834	39.79	POS	14-08-2023 19:30	93213.17	Laptop	Sydney	Travel	0	7	437.63	3	Amex	65	883.17	Biometric	0.8494	0	0
1	TXN_9427	USER_7875	1.19	Bank Transfer	07-06-2023 04:01	75725.25	Mobile	New York	Clothing	0	13	478.76	4	Mastercard	186	2203.36	Password	0.0959	0	1
2	TXN_199	USER_2734	28.96	Online	20-06-2023 15:25	1588.96	Tablet	Mumbai	Restaurants	0	14	50.01	4	Visa	226	1909.29	Biometric	0.8400	0	1
3	TXN_12447	USER_2617	254.32	ATM Withdrawal	07-12-2023 00:31	76807.20	Tablet	New York	Clothing	0	8	182.48	4	Visa	76	1311.86	OTP	0.7935	0	1
4	TXN_39489	USER_2014	31.28	POS	11-11-2023 23:44	92354.66	Mobile	Mumbai	Electronics	1	14	328.69	4	Mastercard	140	966.98	Password	0.3819	1	1
5	TXN_42724	USER_6852	168.55	Online	05-06-2023 20:55	33236.94	Laptop	Tokyo	Restaurants	0	3	226.85	2	Discover	51	1725.64	OTP	0.0504	0	0
6	TXN_10822	USER_5052	3.79	POS	07-11-2023 01:18	86834.18	Tablet	London	Restaurants	0	2	298.35	2	Mastercard	168	3757.19	Password	0.0875	0	0
7	TXN_49498	USER_4660	7.08	ATM Withdrawal	25-02-2023 03:43	45826.27	Tablet	London	Restaurants	0	3	164.38	4	Discover	182	1764.66	Biometric	0.5326	0	1
8	TXN_4144	USER_1584	34.25	ATM Withdrawal	09-03-2023 22:51	94392.35	Tablet	Tokyo	Clothing	0	7	90.02	3	Visa	24	550.38	Biometric	0.1347	1	0
9	TXN_36958	USER_9498	16.24	POS	20-09-2023 17:27	91859.97	Mobile	Mumbai	Travel	0	6	474.42	1	Mastercard	124	720.91	PIN	0.3394	0	0

	Transaction_ID	User_ID	Transaction_Amount	Transaction_Type	Timestamp	Account_Balance	Device_Type	Location	Merchant_Category	Previous_Fraudulent_Activity	Daily_Transaction_Count	Avg_Transaction_Amount_7d	Failed_Transaction_Count_7d	Card_Type	Card_Age	Transaction_Distance	Authentication_Method	Risk_Score	Is_Weekend	Fraud_Label
49990	TXN_47191	USER_1037	25.00	Online	06-03-2023 10:03	11434.89	Tablet	Tokyo	Travel	1	8	204.59	3	Amex	227	226.29	Password	0.0179	0	0
49991	TXN_21962	USER_2360	168.41	POS	06-09-2023 06:16	36626.82	Tablet	Mumbai	Travel	0	7	341.51	0	Mastercard	39	2862.22	OTP	0.1860	1	0
49992	TXN_37194	USER_5730	315.08	ATM Withdrawal	22-03-2023 06:48	98126.81	Tablet	New York	Restaurants	0	11	53.74	1	Mastercard	138	1531.42	OTP	0.5323	0	0
49993	TXN_16850	USER_4192	202.66	Bank Transfer	18-04-2023 09:22	98989.44	Laptop	London	Groceries	0	6	366.35	4	Visa	195	1939.25	Password	0.3458	1	1
49994	TXN_6265	USER_2098	109.62	Online	07-10-2023 13:37	57076.91	Mobile	Tokyo	Clothing	0	10	466.26	2	Visa	192	2631.85	Biometric	0.2922	1	0
49995	TXN_11284	USER_4796	45.05	Online	29-01-2023 18:38	76960.11	Mobile	Tokyo	Clothing	0	2	389.00	3	Amex	98	1537.54	PIN	0.1493	1	0
49996	TXN_44732	USER_1171	126.15	POS	09-05-2023 08:55	28791.75	Mobile	Tokyo	Clothing	0	13	434.95	4	Visa	93	2555.72	Biometric	0.3653	0	1
49997	TXN_38158	USER_2510	72.02	Online	30-01-2023 19:32	29916.41	Laptop	Mumbai	Clothing	1	1	369.15	2	Visa	114	4686.59	Biometric	0.5195	0	0
49998	TXN_860	USER_2248	64.89	Bank Transfer	09-03-2023 19:47	67895.67	Mobile	Tokyo	Electronics	0	13	242.29	4	Discover	72	4886.92	Biometric	0.7063	0	1
49999	TXN_15795	USER_6529	13.00	Bank Transfer	19-08-2023 23:57	7668.82	Tablet	London	Restaurants	0	5	273.78	1	Mastercard	154	1568.95	OTP	0.8938	0	1

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category